Abstract:
This report has analyzed AMR trends utilizing a dataset from AIIMS hospitals using resistance patterns across organisms, sample types, and demography. Data was preprocessed with parallel computing that enabled handling of large datasets efficiently. The key metrics such as isolation rates, resistance trends were calculated. Resistance patterns over time have been visualized, and the shifts have been noted to be significant in altering susceptibility patterns. Another type of output used in developing these trends included scorecards to summarize such trends with an all-encompassing overview of AMR dynamics. The objective is toward well-informed decisions and more work in this regard of AMR.
